Bai Chang

512 citations
19 papers · 347 · h-index 10

Impact in

Papers in

Bai Chang

19 papers receiving 342 citations

Peers

Bai Chang
Comparison fields: 5 of 64
  • Nephrology 66
  • Endocrinology, Diabetes and Metabolism 77
  • Occupational Therapy 14
  • Rehabilitation 19
  • Complementary and alternative medicine 17
Replace H. Grassos with:
H. Grassos Greece
Havva Koçak Türkiye
Agnieszka Kuchta Poland
Emre Entok Türkiye
Minglin Pan China
Tayyibe Saler Türkiye
Xisheng Xie China
Pengxun Han China
Mihaela Simona Popoviciu Romania
Mizuki Tani Japan
Bai Chang relative to H. Grassos Greece H. Grassos's profile →
Citations per field
00.5×
H. Grassos · 1×
Citations per year

Countries citing papers authored by Bai Chang

Since Specialization
Citations

This map shows the geographic impact of Bai Chang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bai Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bai Chang more than expected).

Fields of papers citing papers by Bai Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bai Chang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bai Chang. The network helps show where Bai Chang may publish in the future.

Co-authors

The 25 scholars most cited alongside Bai Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bai Chang Line = papers co-authored together Bai Chang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2020143
2 201148
3 202135
4 201216
5 201914
6 201913
7 201713
8
Risk Factors for Multidrug-Resistant Organisms Infection in Diabetic Foot Ulcer
202212
9 201512
10 201711
11 20165
12 20115
13 20224
14 20234
15 20204
16
New discussion of Pi-dan.
20093
17
Influence of Kaiyuqingre Formula on glycolipin metabolism in spontaneous obese T2DM rats.
20092
18
Lowering blood sugar of obese patients with type 2 diabetes by only using dispersing stagnation and clearing heat therapy for a long term.
20092
19 20231

About Bai Chang

Bai Chang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Nephrology, Epidemiology and Surgery, having authored 19 papers that have together received 347 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Wound Healing and Treatments (2 papers), Adipose Tissue and Metabolism (2 papers), Pressure Ulcer Prevention and Management (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Nephrology (66 citations), Endocrinology, Diabetes and Metabolism (77 citations), Occupational Therapy (14 citations), Rehabilitation (19 citations) and Complementary and alternative medicine (17 citations). Bai Chang has collaborated with scholars based in China. Frequent co-authors include Juhong Yang, Jingyu Wang, Miaoyan Zheng, Xiaochen Li, Jie Xu, Xiaofang Shen, Jing Li, Zhongai Gao, Ran Liu and Wenli Lu. Their work appears in journals such as The American Journal of Chinese Medicine, Chinese Journal of Natural Medicines, Diabetes Care, International Wound Journal and Aging and Disease.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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